Corpus ID: 237532694

Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis

@article{Zhu2021LearningTA,
  title={Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis},
  author={Wei Zhu and Zihe Zheng and Haitian Zheng and Hanjia Lyu and Jiebo Luo},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.07509}
}
  • Wei Zhu, Zihe Zheng, +2 authors Jiebo Luo
  • Published 15 September 2021
  • Computer Science
  • ArXiv
Visual sentiment analysis has received increasing attention in recent years. However, the quality of the dataset is a concern because the sentiment labels are crowd-sourcing, subjective, and prone to mistakes. This poses a severe threat to the data-driven models including the deep neural networks which would generalize poorly on the testing cases if they are trained to over-fit the samples with noisy sentiment labels. Inspired by the recent progress on learning with noisy labels, we propose a… Expand

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